The only path forward is to get LSD into the water supply at Davos and put on a really scary play about Rokko’s Basilisk for all the money people, or else Sam Altman won’t be able to afford to repair his infinity pool
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Corporate America Has Suddenly Decided to Stop Blowing Money on AI
11–20 of 94 posts
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#12"Trust me bro" - Wall Street Journal
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#13Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#14how long until the too-big-to-fail bubble bursts so I can buy a hard drive again?
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#15Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#16If you sell "AI" maybe, if you sell products that happen to use LLMs to provide services previously not possible, the money still exists in my experience. When I first heard of tokenmaxxing, I thought it had to be a joke. But no, it turned out to be a widespread phenomenon. I still cannot believe that was a thing. What I keep saying in internal meetings is: "I am so glad these people are this bad at deploying these t…
It’s a forcing function. If you are running a company you need to be in control. Some engineers dngaf or will sandbag everything.
We did a 90 day push and identified where we found value and where we didn’t. Our tools teams really upped their game, more than expected, and it would have been unlikely to have been funded if they tried to justify the budget as an individual initiative.
There’s a spectrum of people - some folks are building rando apps for fun with LLMs, and many don’t really know what’s possible becuase they don’t or can’t invest in the subscription to really use the tools at home.
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#17Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
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Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#18Nowadays I don't understand why you wouldn't use a (more-or-less) nearby hosted Chinese model. You have the security, you have roughly the same performance, and you have an order of magnitude more bang for your buck. Bonus point : the models aren't censored and won't refuse to answer in the middle of your coding session.
Is censorship not an issue with Chinese models?
Far less than OAI or Anthropic’s censorship. If you really care about it, you can use a completely uncensored edition of Qwen.
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#19The only path forward is to get LSD into the water supply at Davos and put on a really scary play about Rokko’s Basilisk for all the money people, or else Sam Altman won’t be able to afford to repair his infinity pool
They need a new acronym: AGI -> ASI -> Artificial Mega Intelligence AMI? Maybe go back to AGI but make it mean Artificial Godlike Intelligence?
It's too bad Altman already blew his wad with the whole Dyson sphere thing. It's hard to top that. Maybe he can promise them a paperclip universe? That's gotta be worth a few more trillion.
Re: Corporate America Has Suddenly Decided to Stop Blowing Money on AI
#20If you sell "AI" maybe, if you sell products that happen to use LLMs to provide services previously not possible, the money still exists in my experience. When I first heard of tokenmaxxing, I thought it had to be a joke. But no, it turned out to be a widespread phenomenon. I still cannot believe that was a thing. What I keep saying in internal meetings is: "I am so glad these people are this bad at deploying these t…
There's very little that wasn't possible before LLMs, because, well, you still had humans. There are many things that the models promise to make a lot cheaper, if you're willing to accept trade-offs, but these trade-offs can be quite severe.
Many of the most successful applications of LLMs are fields that were already terrible. For example, LLMs are a natural fit for customer support. And somehow, it's also a natural fit for software engineering, which I suppose is an indictment of our field... who cares if a model comes up with a bad architecture or a product that only kinda-works, that's how we always rolled.